Snowplow for Kafka

Power real-time apps with your behavioral event data in Apache Kafka.

Book a demo

Try our Solution Accelerators

Real-time apps start with Apache Kafka

Kafka is the de facto standard for real-time

Apache Kafka has emerged as the de facto standard for event streaming, adopted by over 60% of Fortune 100 companies.

Operational data apps depend on real-time

Operational use cases such as personalization, fraud detection, and dynamic pricing rely on real-time, resilient data processing at massive event volumes.

Rich ecosystem for real-time engineering

Benefit from a rich tooling ecosystem that includes Kafka Streams, Kafka Connect, Apache Flink, and SDKs for all common languages.

Comprehensive SDKs for Real-Time Operations

Seamless Data Generation at Scale

Snowplow provides over 35 first-party trackers and SDKs, enabling businesses to collect real-time behavioral data from web, mobile, IoT, and server-side applications. This ensures a continuous flow of event-level data into the operational estate.

Integrated with Confluent for Enterprise-Grade Streaming

Event data collected via Snowplow seamlessly flows into Confluent Cloud and Apache Kafka, ensuring high-throughput, low-latency streaming for downstream operations and AI-driven applications.

Real-Time Enrichment and Stream Processing

Enriching Data for Smarter Decisions

Snowplow’s 15+ built-in enrichments enhance raw behavioral data with PII masking, geo lookups, and sessionization, before streaming into Confluent’s real-time processing engine.

Real-time identity

Real-time identity stitch provides downstream Kafka apps to work with the best-possible understanding of which user generated these digital events.

Flexible Deployment Models and Managed Streaming

Deploy Where Needed

Snowplow offers full bring your own cloud deployment, allowing businesses to run their behavioral data pipeline within their own virtual private cloud, maintaining strict compliance and security while integrating seamlessly with Confluent Cloud, Redpanda or self-managed Kafka.

Scalable, Managed Streaming with Confluent Cloud

For businesses seeking a fully managed streaming infrastructure, Confluent Cloud ensures enterprise-grade reliability, auto-scaling, and low-latency delivery of behavioral data into modern AI, analytics, and operational workflows.

Shift left with Snowplow + Kafka

Shared event schema philosophy

Like Kafka, Snowplow supports strongly-typed events using versioned JSON Schemas stored in a schema registry.

Runtime event validation protects downstream Kafka apps

Snowplow validates all events in real-time and quarantines events which do not conform to schema. This ensures that downstream Kafka apps.

Event consumer SDKs in multiple languages

Snowplow provides SDKs in Scala, Python, Golang, Java (coming soon) and JS/TypeScript to make working with Snowplow events from your Kafka app a breeze.

"We need to act in real-time in order to stay competitive. Snowplow’s Kafka integration has made it trivially simple to capture those events and make them actionable"